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MAAT MCP Restaurant Finder

@akaTEDDY

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akaTEDDY

MAAT MCP Restaurant Finder について

概要はまだありません

#restaurant-finder#mcp#location-based-recommendation

MAAT MCP Restaurant Finder の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "maat_mcp_server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MAAT MCP Restaurant Finder のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MAAT MCP Restaurant Finder?

MAAT MCP Restaurant Finder is a remote MCP server that provides restaurant search and recommendation services. It searches for nearby restaurants based on user location, offers random restaurant recommendations, and supports category-based search (Korean, Chinese, Japanese, Western, etc.). It is built with Python 3.8+, FastMCP 0.4.1+, and uses Google Maps API and iplocation API.

How to use MAAT MCP Restaurant Finder?

Clone the repository, install dependencies from requirements.txt, set environment variables GOOGLE_MAPS_API_KEY and IPLOCATION_API_KEY in a .env file, then run python main.py. For Claude Desktop integration, configure with npx mcp-remote http://localhost:8000/sse and the GOOGLE_MAPS_API_KEY environment variable.

Key features of MAAT MCP Restaurant Finder

  • Location-based restaurant search
  • Random restaurant recommendation based on current location
  • Category-based search (Korean, Chinese, Japanese, Western)
  • Exposes tools find_restaurants and recommend_random_restaurant
  • Provides resource maat://restaurant_results and prompt 맛집 검색
  • Remote MCP server using SSE transport

Use cases of MAAT MCP Restaurant Finder

  • Find nearby restaurants by location
  • Get a random restaurant recommendation
  • Search restaurants filtered by cuisine category
  • Integrate restaurant discovery into AI assistant workflows

よくある質問

1

What APIs does the server require?

It requires a Google Maps API key and an iplocation API key, set via `GOOGLE_MAPS_API_KEY` and `IPLOCATION_API_KEY` environment variables.

2

How do I run the server?

After installing dependencies and setting environment variables, run `python main.py` from the project root.

3

What tools and resources are available?

Tools: `find_restaurants` and `recommend_random_restaurant`. Resource: `maat://restaurant_results`. Prompt: `맛집 검색`.

4

How do I configure it with Claude Desktop?

Add an entry in `claude_desktop_config.json` using the command `npx mcp-remote` with args `["http://localhost:8000/sse"]` and environment variable `GOOGLE_MAPS_API_KEY`.

5

What are the runtime dependencies?

Python 3.8+, FastMCP 0.4.1+, and other packages listed in `requirements.txt`. The server uses Google Maps API and iplocation API.

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